• Pricing
Book a demo

Automatically generate and maintain your technical documentation in GitLab

Swiftask connects your AI agents to GitLab to transform your commits and source code into clear, accurate, and up-to-date technical documentation.

Result:

Bridge the gap between code and documentation. Let your developers focus on coding, not writing.

Take action now

Bridge the gap between code and documentation. Let your developers focus on coding, not writing.

Technical documentation always lags behind code

In the fast-paced development cycle, documentation is often the first victim. Developers change code, forget to update the README, and new features remain undocumented. The result: invisible technical debt and a loss of critical knowledge for the team.

Main negative impacts:

  • Code-documentation drift: Documentation becomes obsolete within days of being written, making onboarding new developers long and tedious.
  • Developer time drain: Engineers spend valuable hours manually writing guides instead of building high-value features.
  • Knowledge silos: Technical knowledge is locked in a few experts' heads due to a lack of accessible and automatically updated documentation.

Swiftask automates technical documentation generation by analyzing your GitLab repositories. Your AI agents detect changes, extract key information, and write or update your documentation in real-time.

BEFORE / AFTER

What changes with Swiftask

Without Swiftask

A new API is deployed in GitLab. The developer forgets to update the Swagger documentation. The rest of the team uses the old version, bugs arise, and support is overwhelmed.

With Swiftask + GitLab

With every merged MR, the Swiftask agent analyzes the changes, updates the corresponding Markdown file in your GitLab repo, and notifies the team. The documentation is always compliant with the code.

4 steps to automate your technical documentation

STEP 1 : Configure access to your GitLab repositories

Connect Swiftask to your GitLab projects via a secure API key. The agent only accesses the necessary repositories.

STEP 2 : Define generation rules

Specify the style, format (Markdown, Wiki), and elements to document (APIs, classes, functions, changelogs).

STEP 3 : Activate triggers

Configure the agent to run on every push, merge request, or release in GitLab.

STEP 4 : Monitor and approve

The agent proposes a doc update. You approve the change in one click within the Swiftask interface or via an MR.

Capabilities of your AI agent for GitLab

The agent analyzes code comments, file structure, and commit messages to understand the intent behind every change.

  • Target connector: The agent performs the right actions in gitlab based on event context.
  • Automated actions: Automatic README generation. Markdown documentation file updates. Structured changelog creation. Summary of changes for non-technical stakeholders.
  • Native governance: All changes are tracked in the GitLab history, ensuring full transparency on documentation updates.

Each action is contextualized and executed automatically at the right time.

Each Swiftask agent uses a dedicated identity (e.g. agent-gitlab@swiftask.ai ). You keep full visibility on every action and every sent message.

Key takeaway: The agent automates repetitive decisions and leaves high-value actions to your teams.

Why automate with Swiftask

1. Always up-to-date documentation

Eliminate documentation obsolescence. Your documentation reflects the real state of your code at every moment.

2. Accelerated dev cycle

Save time on administrative tasks and focus on delivering quality code.

3. Seamless onboarding

New joiners access reliable and comprehensive technical documentation from day one.

4. Compliance and audit

Keep a clear trace of documentation evolution, essential for security and compliance audits.

5. Seamless integration

Swiftask inserts natively into your GitLab workflow without changing your usual tools.

Security and privacy

Swiftask applies enterprise-grade security standards for your gitlab automations.

  • Restricted access: Fine-grained permission management via GitLab to limit agent access to necessary repositories only.
  • Data encryption: All data processed between GitLab and Swiftask is encrypted in transit and at rest.
  • Human-in-the-loop: Every documentation update can be submitted for human approval before being merged.

To learn more about compliance, visit the Swiftask governance page for detailed security architecture information.

RESULTS

Impact on your engineering productivity

MetricBeforeAfter
Documentation update timeSeveral hours/weekAutomated (seconds)
Documentation accuracyVariable (developer-dependent)High (based on real code)
Onboarding delaySeveral daysSignificantly reduced

Take action with gitlab

Bridge the gap between code and documentation. Let your developers focus on coding, not writing.

Swiftask automates technical documentation generation by analyzing your GitLab repositories. Your AI agents detect changes, extract key information, and write or update your documentation in real-time.

The agent analyzes code comments, file structure, and commit messages to understand the intent behind every change.

All changes are tracked in the GitLab history, ensuring full transparency on documentation updates.

Next use case

Automate your GitLab security audits with AI agents

Discover the next available use case for gitlab.

View next use case